58 lines
1.9 KiB
58 lines
1.9 KiB
# Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserved
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import paddle.v2.dataset.imdb
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import unittest
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import re
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TRAIN_POS_PATTERN = re.compile("aclImdb/train/pos/.*\.txt$")
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TRAIN_NEG_PATTERN = re.compile("aclImdb/train/neg/.*\.txt$")
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TRAIN_PATTERN = re.compile("aclImdb/train/.*\.txt$")
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TEST_POS_PATTERN = re.compile("aclImdb/test/pos/.*\.txt$")
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TEST_NEG_PATTERN = re.compile("aclImdb/test/neg/.*\.txt$")
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TEST_PATTERN = re.compile("aclImdb/test/.*\.txt$")
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class TestIMDB(unittest.TestCase):
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word_idx = None
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def test_build_dict(self):
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if self.word_idx == None:
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self.word_idx = paddle.v2.dataset.imdb.build_dict(TRAIN_PATTERN,
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150)
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self.assertEqual(len(self.word_idx), 7036)
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def check_dataset(self, dataset, expected_size):
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if self.word_idx == None:
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self.word_idx = paddle.v2.dataset.imdb.build_dict(TRAIN_PATTERN,
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150)
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sum = 0
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for l in dataset(self.word_idx):
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self.assertEqual(l[1], sum % 2)
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sum += 1
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self.assertEqual(sum, expected_size)
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def test_train(self):
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self.check_dataset(paddle.v2.dataset.imdb.train, 25000)
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def test_test(self):
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self.check_dataset(paddle.v2.dataset.imdb.test, 25000)
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if __name__ == '__main__':
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unittest.main()
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